CN-122026782-A - Wind-solar complementary intelligent power generation system based on vortex-induced resonance and control method thereof

CN122026782ACN 122026782 ACN122026782 ACN 122026782ACN-122026782-A

Abstract

The application relates to the technical field of new energy power generation, in particular to a wind-solar complementary intelligent power generation system based on vortex-induced resonance and a control method thereof, and aims to solve the problems of poor environmental adaptability, low energy capturing efficiency and limited power generation efficiency of existing energy supply equipment in off-grid power utilization scenes. The method comprises the steps of obtaining meteorological features of a wind field comprising wind direction and wind speed, adjusting the orientation of an excitation column according to the wind direction to enable the orientation of an elastic membrane on the excitation column to be parallel to the wind direction, predicting vortex shedding frequency according to the wind speed, adjusting the height of the excitation column according to the vortex shedding frequency to form vortex-induced resonance, converting mechanical energy generated by the vortex-induced resonance into electric energy by adopting a piezoelectric ceramic plate, converting solar energy into electric energy by adopting a photovoltaic panel, and carrying out adaptive adjustment of wind-solar integrated power generation according to the environmental features of a system based on the method, so that environmental adaptability, energy capturing efficiency and power generation efficiency are improved.

Inventors

LI XINTAO
ZHAN YUHAN
GE MINGWEI
WANG ZINING
CUI YONGHE

Assignees

华北电力大学

Dates

Publication Date: 20260512
Application Date: 20251219

Claims (10)

1. The control method of the wind-solar complementary intelligent power generation system based on vortex-induced resonance is characterized in that the system comprises power generation equipment, wherein the power generation equipment comprises a photovoltaic panel and a power generation assembly based on vortex-induced resonance, the power generation assembly comprises an excitation column, an elastic membrane and a piezoelectric ceramic plate, the elastic membrane is arranged on the excitation column, and the piezoelectric ceramic plate is arranged on the elastic membrane; the method comprises the following steps: Acquiring meteorological features of a wind field, wherein the meteorological features comprise wind direction and wind speed; Adjusting the orientation of the excitation column according to the wind direction so that the orientation of the elastic membrane on the excitation column is parallel to the wind direction; predicting vortex shedding frequency when the wind field forms a karman vortex street phenomenon through the excitation column according to the wind speed; adjusting the height of the excitation column according to the vortex shedding frequency so as to enable the natural frequency of an elastic membrane on the excitation column to be matched with the vortex shedding frequency, thereby forming vortex-induced resonance; The piezoelectric ceramic piece is adopted to convert mechanical energy generated by vortex-induced resonance into electric energy; and converting solar energy into electric energy by adopting the photovoltaic panel.
2. The method of claim 1, wherein the photovoltaic panel is a flexible photovoltaic panel and the photovoltaic panel is disposed as the elastic membrane on the excitation post.
3. The method of claim 1, wherein predicting vortex shedding frequencies of the wind field as it forms karman vortex street phenomena through the excitation column comprises: obtaining a vortex shedding frequency prediction model, wherein the vortex shedding frequency prediction model is a linear reduced-order model which is established by taking wind speed as input and vortex shedding frequency as output and adopting a hydrodynamic simulation technology; And inputting the wind speed of the wind field into the vortex shedding frequency prediction model for processing, and predicting to obtain the vortex shedding frequency.
4. A method according to claim 3, wherein the vortex shedding frequency prediction model is established by: the wind speed is taken as input, the vortex shedding frequency is taken as output, and a hydrodynamic simulation technology is adopted to establish an initial prediction model; Simplifying the initial prediction model into a ROM reduced order model based on an ARX algorithm; converting the ROM reduced order model to a continuous state space model based on bilinear transformation; determining model parameters of the continuous state space model based on a least square method; and obtaining the vortex shedding frequency prediction model according to the continuous state space model and the model parameters thereof.
5. The method of claim 1, wherein the meteorological feature further comprises a temperature, the method further comprising: predicting a weather change result in a future preset period according to the weather characteristics; determining the power utilization priority of various loads to be powered according to the weather change result; Determining utility weights of various loads to be powered according to the power utilization priorities of the various loads to be powered; Obtaining an objective function of the utility of a load , Representing utility weights for class i loads to be powered, Indicating the amount of power allocated to the i-th type of load to be supplied, Representing the power distribution quantity of the i-th type load to be supplied with power A utility value below, N representing the total number of load types; substituting the utility weights of the various loads to be powered into an objective function To make the objective function The maximum value of the electric energy distribution quantity is the target Optimizing to obtain optimized electric energy distribution ; According to the optimized electric energy distribution amount corresponding to the various loads to be supplied And supplying power to the various loads to be supplied.
6. The method of claim 5, wherein predicting weather change results over a future preset period based on the weather features comprises: Acquiring a weather prediction model, wherein the weather prediction model comprises a CEEMDAN module and an LSTM module; The CEEMDAN module is configured to receive the temperature, perform signal decomposition on the temperature based on CEEMDAN algorithm, obtain signal decomposed temperature data, and send the signal decomposed temperature data to the LSTM module; The LSTM module is configured to receive the temperature data after the signal decomposition for processing, and predict weather change results within a preset time period in the future.
7. The method of claim 6, the weather prediction model being trained by: Constructing a multi-agent system comprising at least two sub-agent systems, and constructing a sub-weather prediction model to be trained corresponding to each sub-agent system, wherein each sub-agent system corresponds to one wind-solar complementary intelligent power generation system based on vortex-induced resonance; For each wind-solar complementary intelligent power generation system based on vortex-induced resonance, a group of samples of the temperature are obtained; inputting each group of samples of the temperature into a corresponding sub-weather prediction model to be trained for training, and obtaining a trained sub-weather prediction model; and carrying out collaborative optimization on all the trained sub-models to obtain a trained weather prediction model.
8. The method of claim 1 or 5, the acquiring meteorological features of a wind farm comprising: acquiring first meteorological features of a plurality of moments acquired by a sensor in a target period; acquiring second meteorological features of a plurality of moments in the target period predicted by a meteorological department; Performing cluster analysis on the first meteorological features at the multiple moments to obtain a first cluster analysis result, and performing cluster analysis on the second meteorological features at the multiple moments to obtain a second cluster analysis result; judging whether the environmental conditions of the wind-solar complementary intelligent power generation system based on vortex-induced resonance are consistent with the environmental conditions corresponding to the second meteorological features at a plurality of moments or not according to the first cluster analysis result and the second cluster analysis result, if so, selecting the second meteorological features at the plurality of moments as final meteorological features of the wind field, and if not, selecting the first meteorological features at the plurality of moments as final meteorological features of the wind field; And/or after the meteorological features of the wind field are acquired, the method further comprises the step of processing the temperature in the meteorological features of the wind field based on a singular spectrum analysis method to obtain temperature data comprising time sequence features.
9. The method according to claim 8, wherein the determining, according to the first cluster analysis result and the second cluster analysis result, whether the environmental condition of the wind-solar hybrid intelligent power generation system based on vortex-induced resonance is consistent with the environmental condition corresponding to the second meteorological feature at the plurality of moments includes: acquiring a first environment type of the wind-solar complementary intelligent power generation system based on vortex-induced resonance according to the first cluster analysis result; Acquiring a second environment type corresponding to a second meteorological feature at the plurality of moments according to the second aggregate analysis result; If the first environment type is the same as the second environment type, judging that the environment condition of the wind-solar complementary intelligent power generation system based on vortex-induced resonance is consistent with the environment condition corresponding to the second meteorological features at a plurality of moments; otherwise, judging that the environmental condition of the wind-solar complementary intelligent power generation system based on vortex-induced resonance is inconsistent with the environmental condition corresponding to the second meteorological features at the plurality of moments.
10. The wind-solar complementary intelligent power generation system based on vortex-induced resonance is characterized by comprising electronic equipment and power generation equipment; The power generation equipment comprises a photovoltaic panel and a power generation assembly based on vortex-induced resonance, wherein the power generation assembly comprises an excitation column, an elastic membrane and a piezoelectric ceramic piece, the elastic membrane is arranged on the excitation column, and the piezoelectric ceramic piece is arranged on the elastic membrane; The electronic equipment comprises at least one processor and a memory in communication connection with the at least one processor, wherein the memory stores a computer program which, when executed by the at least one processor, realizes the control method of the wind-solar complementary intelligent power generation system based on vortex-induced resonance as claimed in any one of claims 1 to 9.

Description

Wind-solar complementary intelligent power generation system based on vortex-induced resonance and control method thereof Technical Field The invention relates to the technical field of new energy power generation, and particularly provides a wind-solar complementary intelligent power generation system based on vortex-induced resonance and a control method thereof. Background Along with the continuous increase of the social demand for energy, the off-grid electric field scene (such as camping adventure, remote rural power supply, field detection and the like) is continuously expanded, and the demand for flexible, efficient and portable power supply equipment is increasingly urgent. The existing off-grid electric field scene energy supply equipment mainly comprises two types of traditional wind-light power generation equipment and two types of miniature outdoor power generation devices which are common in the market, wherein the traditional wind-light power generation equipment has the problems of large size, complex installation, poor environmental adaptability and the like, the limitation of the traditional wind-light power generation equipment is increasingly remarkable, and the miniature outdoor power generation devices such as a solar power generation system, a fuel generator and a manpower power generation device have the advantages, but have the problems of obvious low-temperature performance attenuation, poor portability, low energy density and the like. Meanwhile, the existing method also provides that energy collection can be achieved based on Vortex-induced vibration (Vortex-Induced Vibration, VIV) energy collection devices, vortex-induced vibration is a common fluid-solid coupling phenomenon, but most of the existing Vortex-induced vibration energy collection devices are fixed in structure, and the problems of incapability of adaptively changing wind speed and fluid frequency, low energy capture efficiency and limited overall power generation efficiency exist. Accordingly, there is a need in the art for a new wind-solar hybrid intelligent power generation scheme based on vortex-induced resonance to solve the above-mentioned problems. Disclosure of Invention In order to overcome the defects, the application provides a method for solving or at least partially solving the technical problems of poor environmental adaptability, low energy capturing efficiency and limited power generation efficiency of the existing energy supply equipment in off-grid power utilization scenes. In a first aspect, a control method of a wind-solar complementary intelligent power generation system based on vortex-induced resonance is provided, the system comprises power generation equipment, the power generation equipment comprises a photovoltaic panel and a power generation assembly based on vortex-induced resonance, the power generation assembly comprises an excitation column, an elastic membrane and a piezoelectric ceramic plate, the elastic membrane is arranged on the excitation column, and the piezoelectric ceramic plate is arranged on the elastic membrane; the method comprises the following steps: Acquiring meteorological features of a wind field, wherein the meteorological features comprise wind direction and wind speed; Adjusting the orientation of the excitation column according to the wind direction so that the orientation of the elastic membrane on the excitation column is parallel to the wind direction; predicting vortex shedding frequency when the wind field forms a karman vortex street phenomenon through the excitation column according to the wind speed; adjusting the height of the excitation column according to the vortex shedding frequency so as to enable the natural frequency of an elastic membrane on the excitation column to be matched with the vortex shedding frequency, thereby forming vortex-induced resonance; The piezoelectric ceramic piece is adopted to convert mechanical energy generated by vortex-induced resonance into electric energy; and converting solar energy into electric energy by adopting the photovoltaic panel. In one technical scheme of the control method of the wind-solar complementary intelligent power generation system based on vortex-induced resonance, the photovoltaic panel is a flexible photovoltaic panel, and the photovoltaic panel is arranged on the excitation column as the elastic membrane. In one technical scheme of the control method of the wind-solar complementary intelligent power generation system based on vortex-induced resonance, the predicting vortex shedding frequency when the wind field forms a karman vortex street phenomenon through the excitation column comprises: obtaining a vortex shedding frequency prediction model, wherein the vortex shedding frequency prediction model is a linear reduced-order model which is established by taking wind speed as input and vortex shedding frequency as output and adopting a hydrodynamic simulation technology; And inputting the wind spee